@chanmeng666/femtech-radar-mcp

@chanmeng666/femtech-radar-mcp

An MCP (Model Context Protocol) server that fetches, deduplicates, and scores FemTech industry news and research items from public sources — ready to plug into any MCP-compatible AI client.

Installation

No global install required. Run directly with npx:

npx @chanmeng666/femtech-radar-mcp

Requires Node.js >= 20.

Usage with GitHub Actions Workflow (gh aw)

Add the following to your mcp.json or mcp-servers block:

mcp-servers:
  femtech-radar:
    command: npx
    args: ["-y", "@chanmeng666/femtech-radar-mcp"]

Usage with Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "femtech-radar": {
      "command": "npx",
      "args": ["-y", "@chanmeng666/femtech-radar-mcp"]
    }
  }
}

Tools

radar_collect

Fetch, deduplicate, and score FemTech items for a given section and time window.

Parameter	Type	Required	Description
section	string	Yes	One of "industry", "research", "opportunities", "discussions". In v1 only industry and research have adapters; opportunities and discussions are valid values but return empty results with a "no adapter" warning until a later version.
since	string	No	ISO 8601 date string. Defaults to 7 days ago.
limit	number	No	Maximum items to return. Defaults to 15.

Returns: { items: RadarItem[], warnings: string[] }

Each RadarItem has: id, section, title, url, source, summary, score (0–100), published_at. The raw_metrics field (points, comments, citations) is defined in the schema but is not populated in v1 — popularity is always 0 and raw_metrics is omitted from returned items.

Example prompt:

"Call radar_collect with section=industry to get the latest FemTech industry news."

radar_sources

List all configured data sources grouped by section.

No parameters required.

Returns: Array<{ section: string, sources: string[] }>

Example prompt:

"Call radar_sources to see which data sources the radar monitors."

Data Sources (v1)

Section	Sources
industry	Google News (RSS search)
research	arXiv API (femtech / women's-health / maternal query)

License

MIT